Elevated heat indices resulting from hurricane-related defoliation: a case study

IF 3 3区 地球科学 Q2 BIOPHYSICS International Journal of Biometeorology Pub Date : 2023-06-06 DOI:10.1007/s00484-023-02499-z
Cade Reesman, Paul Miller
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Abstract

Defoliation caused by strong tropical cyclones can modify the partitioning of incident solar radiation between the sensible, latent, and substrate heat fluxes. While previous work has shown hurricane defoliation to warm near-surface air temperature along its track, this study more directly contextualizes the warming to human heat stress and exposure via the heat index (HI). For this case study, the spatial extent and temporal persistence of defoliation produced by Hurricane Laura (2020) in southwestern Louisiana was characterized using the normalized difference vegetation index (NDVI). The defoliated land surface was then assimilated into the Weather Research and Forecasting (WRF) model version 4.2 and compared to a control, normal-foliage simulation for the 30 days following landfall. Over southwest Louisiana, the largest HI increase occurred at 0600 UTC (1:00 AM LT) with an average increase of + 0.25 °C, and the exposure time to HI ≥ 30 °C increased by 8.1% after accounting for the defoliated landscape. Meanwhile, Cameron, Louisiana, the site of Laura’s landfall where defoliation was most severe, cumulatively experienced an extra 33 h of HI values exceeding 26 °C, while mean HI increased by 1.2 °C at 0300 UTC. Additional WRF experiments were performed with altered “landfall” years of 2017 and 2018 to determine the sensitivity of defoliation-driven HI changes to the ambient synoptic conditions. While synoptic conditions modulated the magnitude of increase, HIs nonetheless experienced statistically significant increases in both hypothetical “landfall” years. Such findings are valuable for emergency managers and community health officials because overnight minimum temperatures are a strong indicator of heat mortality.

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与飓风相关的落叶导致的高温指数升高:一个案例研究
强热带气旋引起的落叶可以改变入射太阳辐射在感热通量、潜热通量和底热通量之间的分配。虽然以前的研究表明飓风落叶会使其路径上的近地表空气温度变暖,但这项研究更直接地将变暖与人类热应激和热指数(HI)联系起来。本研究利用归一化植被指数(NDVI)表征了飓风劳拉(2020)在路易斯安那州西南部造成的落叶的空间范围和时间持续性。然后将落叶的地表吸收到天气研究与预报(WRF) 4.2版模型中,并与登陆后30天的正常树叶模拟对照进行比较。路易斯安那州西南部在0600 UTC (1:00 AM LT)的HI增加幅度最大,平均增加+ 0.25°C,在考虑落叶景观后,HI≥30°C的暴露时间增加了8.1%。与此同时,劳拉登陆时落叶最严重的路易斯安那州卡梅伦,累计经历了33小时的HI值超过26°C,而平均HI值在0300 UTC增加了1.2°C。在2017年和2018年的“登陆”年份发生改变的情况下,进行了额外的WRF实验,以确定落叶驱动的HI变化对环境天气条件的敏感性。虽然天气条件调节了增加的幅度,但HIs在两个假设的“登陆”年都经历了统计上显著的增加。这些发现对应急管理人员和社区卫生官员很有价值,因为夜间最低温度是高温死亡率的一个有力指标。
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来源期刊
CiteScore
6.40
自引率
9.40%
发文量
183
审稿时长
1 months
期刊介绍: The Journal publishes original research papers, review articles and short communications on studies examining the interactions between living organisms and factors of the natural and artificial atmospheric environment. Living organisms extend from single cell organisms, to plants and animals, including humans. The atmospheric environment includes climate and weather, electromagnetic radiation, and chemical and biological pollutants. The journal embraces basic and applied research and practical aspects such as living conditions, agriculture, forestry, and health. The journal is published for the International Society of Biometeorology, and most membership categories include a subscription to the Journal.
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